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FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data


Jul 21, 2022
Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li


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Conditional Supervised Contrastive Learning for Fair Text Classification


May 23, 2022
Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian


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Algorithms and Theory for Supervised Gradual Domain Adaptation


Apr 25, 2022
Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao


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Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond


Apr 18, 2022
Haoxiang Wang, Bo Li, Han Zhao

* The code will be released at https://github.com/Haoxiang-Wang/gradual-domain-adaptation 

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Model-Agnostic Multitask Fine-tuning for Few-shot Vision-Language Transfer Learning


Mar 09, 2022
Zhenhailong Wang, Hang Yu, Manling Li, Han Zhao, Heng Ji

* 7 pages, 6 figures, under review 

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Conditional Contrastive Learning with Kernel


Feb 14, 2022
Yao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov


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Provable Domain Generalization via Invariant-Feature Subspace Recovery


Jan 30, 2022
Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao

* The code will be released at https://github.com/Haoxiang-Wang/ISR 

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Towards Return Parity in Markov Decision Processes


Nov 19, 2021
Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao


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Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation


Jun 16, 2021
Haoxiang Wang, Han Zhao, Bo Li

* ICML 2021 camera-ready version. Code is released at https://github.com/AI-secure/multi-task-learning 

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Costs and Benefits of Wasserstein Fair Regression


Jun 16, 2021
Han Zhao


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